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Abstract

Some shared disk clustered Data Base Management Systems (DBMS) architectures and implementations utilize a centralized agent in order to synchronize access to various shared data base structures, such as locks and pages. As the DBMS cluster size increases it is possible to exhaust various physical resources that the single centralized synchronization agent requires to process the various synchronization requests, eg. Memory/Processor/Network. The idea presented below is how to avoid the single centralized synchronization agent bottlneck in a transparent fashion.

Country

Undisclosed

Language

English (United States)

This text was extracted from a PDF file.

This is the abbreviated version, containing approximately
53% of the total text.

There are typically two options to avoid the single centralized synchronization agent becoming a bottleneck. One option is to scale up physical resources used by the centralized synchronization agent, for example, by adding more processor processing power, memory and network resources. The first option is not always possible for various reasons, such as exceeding the limits of the largest single physical server.

Using another option, scaling out the centralized synchronization agent, by dividing processing across multiple agents on multiple physical resources, for example, using physical servers may be used. The disclosed process is an example of the scale out category.

Current solutions for scale out of the centralized synchronization agent require user intervention to dictate placement of various structures across synchronization agents. The intervention typically requires isolation of objects at a fairly high granularity, such as a table or index level and assignment of all synchronization request processing for the isolated objects to one synchronization agent. The intervention may also require schema changes and data base object reorganization.

A disclosed process for achieving transparent scale out of synchronization agent is provided using the...